A Qualitative Approach for Enhancing Fundus Images with Novel CLAHE Methods
Received: 7 November 2024 | Revised: 28 November 2024, 4 December 2024, and 10 December 2024 | Accepted: 14 December 2024 | Online: 31 December 2024
Corresponding author: P. Lalitha Surya Kumari
Abstract
Glaucoma is a progressive eye disease. This study presents a custom technique to enhance retinal fundus images to detect glaucoma. Contrast enhancement is a crucial stage in medical image analysis to improve the visual impression of diseases. CLAHE is a common technique to improve images. Clip Limit (CL) and subimages may restrict the potential benefits of the typical approach and pose difficulties. This study introduces Enhanced CLAHE and Automated CLAHE to address the shortcomings of the base method. These methods demonstrate progress in improving retinal landmarks in various ways by looking directly at the in-depth description of retinal images. The proposed methods, along with the baseline CLAHE, were compared using quality assessment tools such as the Peak-Signal-to-Noise Ratio (PSNR). The results help to determine the degree of contrast enhancement and the overall richness of the image.
Keywords:
CLAHE, enhanced-CLAHE, auto-CLAHE, glaucoma, image enhancement, PSNRDownloads
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